Name
Abstract | ||
|---|---|---|
By linking differential gene expression to the chromosomal localization of genes, one can investigate microarray data for characteristic patterns of expression phenomena involving sizeable parts of specific chromosomes. We have implemented a statistical approach for identifying significantly differentially expressed chromosome regions. We demonstrate the applicability of the approach on a publicly available data set on acute lymphocytic leukemia.The R-package MACAT can be obtained from http://www.compdiag.molgen.mpg.de/software/macat.shtmlhttp://www.compdiag.molgen.mpg.de/software/macat.shtml. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1093/bioinformatics/bti183 | Bioinformatics |
Keywords | Field | DocType |
available data,r-package macat,shtml contact,characteristic pattern,microarray chromosome analysis tool,differential gene expression,microarray data,statistical approach,acute lymphocytic leukemia,de supplementary information,expression phenomenon | Chromosome regions,Microarray,Gene,Chromosome,Biology,Gene mapping,Software,Microarray analysis techniques,Bioinformatics,Genetics | Journal |
Volume | Issue | ISSN |
21 | 9 | 1367-4803 |
Citations | PageRank | References |
10 | 1.03 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joern Toedling | 1 | 112 | 11.16 |
| Sebastian Schmeier | 2 | 59 | 5.26 |
| Matthias Heinig | 3 | 56 | 6.04 |
| Benjamin Georgi | 4 | 19 | 2.02 |
| Stefan Roepcke | 5 | 38 | 3.32 |